Research Scientist, Computer Vision (PhD)

Summary:

Meta is seeking a Research Scientist to advance computer vision and AI research in support of Meta's broader mission to build the next generation of intelligent systems. In this role, you will conduct original research in areas such as visual perception, 3D scene understanding, image and video recognition, and fast models that operate on real-time video. You will collaborate with a multidisciplinary team of researchers and engineers to translate research insights into scalable AI capabilities that power Meta's products and platforms, from augmented and virtual reality experiences to large-scale content understanding systems.

Required Skills:

Research Scientist, Computer Vision (PhD) Responsibilities:

1. Design and conduct original research in computer vision, including 3D reconstruction, scene understanding, and generative image or video modeling

2. Develop and train deep learning models using large-scale image and video datasets, iterating on architectures to improve accuracy, efficiency, and generalization

3. Implement and evaluate novel computer vision algorithms, benchmarking against state-of-the-art methods on standard and internally curated datasets

4. Contribute to the design and curation of training datasets and annotation pipelines for vision tasks

5. Translate research findings into production-ready prototypes in collaboration with engineering teams

6. Write and publish research results at leading computer vision and machine learning venues

7. Participate in code reviews and contribute to shared research codebases, maintaining code quality and reproducibility

8. Collaborate with cross-functional partners in product, engineering, and data science to align research directions with applied goals

9. Instrument experiments with appropriate logging and evaluation metrics to support data-driven decision making

10. Identify opportunities to improve existing vision systems and propose incremental or novel research directions to the team

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

3. Currently has, or is in the process of obtaining, a PhD in computer vision, machine learning, computer science, or a related field

4. 2+ years of research experience in computer vision, including work on 3D reconstruction, SLAM, or related areas

5. Experience in developing and training deep learning models using frameworks such as PyTorch

6. Experience implementing and evaluating computer vision algorithms and conducting rigorous experimental comparisons

7. Experience communicating research findings through publications, technical reports, or presentations to peers

8. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

1. Experience with large-scale vision-language models, self-supervised learning, or generative image and video modeling

2. Demonstrated software engineering experience through internships, open-source contributions, or research engineering roles

3. Experience with 3D vision tasks including depth estimation, novel view synthesis, neural radiance fields, or multi-view reconstruction

4. Proven track record of publications at leading computer vision or machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, or SIGGRAPH

Public Compensation:

$154,000/year to $217,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].